Staff Technical Writer Jobs

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana We're looking for a Senior Staff Machine Learning Engineer to lead the AI behind Altana Nexus, our agentic platform for global trade. You'll work on a continuous stream of public and proprietary trade data (shipments, customs filings, trade documents), and build the models and AI agents that turn it into real-time decisions on risk, compliance and enforcement for governments and the world's largest companies. Your Responsibilities Drive the technical direction for agentic systems. Define the architecture and roadmap for the models and agentic systems that process trade data as it arrives (shipments, customs declarations, invoices, bills of lading) and turn it into risk, classification and compliance decisions in real time. Build the pipeline from ingestion to decision. Lead the design of reliable, cost-efficient systems for ingestion, document understanding, entity resolution, inference and routing across models, at the scale of global trade. Adapt models to trade. Use analyst feedback, production outcomes and agent traces to fine-tune and post-train models (SFT, DPO, RL with domain graders) where it measurably beats prompting, and keep every model improving over time. Design the observability and feedback stack. Build the evals, tracing and feedback loops that decide what ships and catch regressions in production. Lead beyond your team. Mentor senior engineers, raise the technical bar across Engineering, and help shape how we hire and level ML talent. Shape the product and the business. Work with software engineers, data scientists, product managers and customers to generate new business ideas and turn ambiguous problems into shipped capabilities. About You BS/MS in Computer Science, Machine Learning, or a related field, or equivalent experience 8+

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the Role Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale. In November 2023 we launched our non-food retail offering, Deliveroo ‘Shopping’, where we work with large and small merchants. We oversee all operations within the grocery and retail ecosystem, ensuring stores are equipped to receive and efficiently process orders. Our solutions empower stores to manage orders seamlessly through multiple channels, including our in-house app, API integration, and devices pre-installed with our software. Additionally, we provide tools to maintain and update product catalogs, ensuring accurate inventory for consumers. The technology we’ve developed enables our partners to pick the correct items swiftly while keeping inventory data current, optimizing both efficiency and accuracy. We’re looking for a Staff Software Engineer to join our London, UK - Hybrid (3 days from the office) team. In this role, you’ll help us define technical solutions for critical business problems and lead the technical direction for complex, high-scale systems. Get to know our Engineering team — what drives us, how we work, and what you can expect. What You’ll Be Doing You’ll be joining a high-impact engineering group focused on solving unstructured and ambiguous challenges. You wil

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a member of the GTM team at Anthropic, you will be a Staff Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers and leads the technical direction of their AI adoption. Customers bring you in to lead, not only to implement: you decide what should be built, and then make sure it gets built well. You will work with customer teams to ship advanced AI applications that solve real world business problems, and guide the architecture and advisory work that surrounds those builds across an account. Working closely with our Research, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability. You will sit at the frontier of enterprise AI deployments and help shape our forward-deployed motion as it scales. We expect Staff FDEs to set direction under ambiguity and represent Anthropic at the highest level in customer environments. In this role, you guide architecture and build initiatives across workstreams, working directly with senior technical and business stakeholders and owning outcomes that span an account's roadmap. You don't need to have shipped agents to production. You do need deep experience building and operating production systems, hands-on time with agents, and the judgment to lead architecture and advisory work with enterprise customers. Responsibilities Own technical strategy for a key account or vertical, in partnership with accou

About the Role Global Safety and Security (GSS) protects our people, our sites, and the physical and logical systems that keep the business running. Our security and protection programs are never single-team efforts: one rollout can touch physical security operations, customer experiences, site readiness, hardware provisioning, networking, cloud infrastructure, identity, and the data platforms above them — spanning many countries, on timelines tied to leases, permits, and vendors. About the Team We are hiring a Staff Security Engineer to help design and deliver strategic and durable security services. You own the technical and architectural plan, strategic partner engagement with technology providers, the delivery sequence, the dependencies, and the program status leadership relies on. You are accountable for outcomes influencing teams that you don’t manage. You will collaborate with software engineers, third-party providers, physical security operations, project managers running site readiness and provisioning, and networking and cloud infrastructure partners, and you will keep managers, directors, and senior leaders informed. Security Enablement Engineering delivers security paved paths and capabilities that address systemic security issues through well-designed customer experiences, easy-to-adopt and robust, well-architected security solutions, systematically reducing organizational risk. You’re excited about this opportunity because you will… Own the design of our physical security systems integration layer — such as access control (PACS) and video management (VMS) platforms, the APIs they expose, and the connectors that carry their data into our systems of record. Own end-to-end design and delivery of multi-domain security services spanning physical security systems, hardware provisioning and site readiness, cloud and network infrastructure, identity and access management, key management, and the reporting/observability layers on top. You’ll bring experti

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Staff CDN Engineer is a highly experienced, hands-on technical leader responsible for enterprise content delivery, edge computing, web performance, DNS, traffic management, and application security solutions. This role defines architecture and engineering standards, builds reusable automation and self-service capabilities, and partners across application, infrastructure, cloud, network, and security teams. The engineer also provides operational ownership by participating in on-call support, leading response to critical production incidents, supporting business-critical releases, and driving root-cause remediation and long-term service improvements. Through direct engineering contribution, technical influence, and mentorship, this role advances platform reliability, performance, security, scalability, and operational readiness. Roles and Responsibilities / Job Duties Define and evolve enterprise CDN and edge-delivery architectures, engineering standards, and reusable design patterns; build APIs, Infrastructure as Code modules, GitOps workflows, CI/CD pipelines, and self-service capabilities that standardize onboarding, deployment, configuration, validation, governance, and lifecycle management while reducing operational risk and recurring manual effort. Serve as the enterprise subject matter expert for CDN(Akamai), edge delivery,

About the Team The Notification Hub and Experience team is a product-focused engineering team responsible for one of the company's most scalable growth levers. Our mission is to deliver intelligent, personalized notifications that reach the right user, in the right channel, at the right time. The Notification Hub is the home of comms personalized to you, where every notification a customer has ever gotten lives on, browsable and actionable, so a missed push never means a missed deal. We operate at a massive scale, and we are transitioning from a campaign-centric mode to a fully personalized experience that treats notifications as a sequential, over-time experience with continuously learning from user behavior. About the Role We are looking for a Staff Backend Engineer to join our team. As a Staff Engineer, you are a technical leader and trusted advisor — you set the engineering excellence bar, own ambiguous cross-functional problems, and shape the roadmap for your domain. You will be the technical visionary leading our transition into high-level autonomy. You will drive the architecture and strategy for our notification experience at massive scale, while making every notification smarter, more timely, and more relevant for millions of customers. This role requires a deep understanding of distributed systems, AI fluency, and a product-minded approach to technical leadership. You will be responsible for building a system that balances immediate conversion value against long-term reachability costs. You’re excited about this opportunity because you will… Technical Leadership & Architecture Define and own the multi-quarter technical strategy for notification hub and experience team. Architect the notification system and experience, moving from campaign centric notification to an integrated personalized system that reasons over the entire user notification lifecycle. Make high-quality architectural decisions across relevance, latency, and system complexity Raise the

About the Team DoorDash is building the world’s most reliable on-demand logistics platform. As we continue to expand our Engineering organization globally, we’re looking for Staff Backend Engineers to build and evolve the large-scale, highly available systems that power DoorDash’s three-sided marketplace of consumers, merchants, and Dashers. Our engineers solve complex technical and business problems across a global platform that operates 24/7 and supports millions of users. About the Role We’re looking for Staff Backend Engineers to join Product and Product Platform teams across DoorDash. Engineers on Product teams work at the intersection of product and infrastructure, translating complex business problems into scalable technical solutions. Engineers on Product Platform teams build the foundational systems, services, and capabilities that enable product teams to move quickly and reliably. As a Staff Engineer, you will set technical direction, lead complex initiatives across teams, and shape the architecture and long-term roadmap of critical systems. You’ll partner closely with Engineering, Product, Design, and other cross-functional stakeholders to evaluate trade-offs and deliver solutions that maximize customer and business impact. You will also raise the technical bar across the organization by mentoring engineers, improving engineering practices, and helping teams navigate ambiguous, high-impact technical challenges. This is a hybrid role with some in-office time expected. You will report to an Engineering Manager. You're excited about this opportunity because you will… Develop, release and run large-scale web applications Develop and define the backend architecture and tech stack for a product area Improve performance, reliability, scalability and security for our backend systems Be involved in transitioning our monolithic codebase to a microservice-based architecture Completely disrupt logistics by tackling bleeding-edge, technical problems We're excited abou

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Android Platform team sets the technical direction for Android at Reddit. We design, build and support the Android app for millions of DAUs and the development ecosystem (libraries, frameworks, observability, and build/CI tooling) that every team uses to ship delightful Reddit experiences. As a Staff Android Engineer on the Android Platform team, you’ll set technical direction and lead cross-team initiatives for a large, multi‑team Android codebase, with a core focus on three pillars: Client Health (Crashes/ANRs/Performance), Developer Experiences, and App Architecture (modern and opinionated). You’ll turn ambiguous platform problems into a multi-quarter roadmap, align engineering partners, and stay hands-on from design and implementation through rollout and adoption. What you’ll do Lead technical decisions that will scale Reddit’s Android Platform to the next 100M+ DAUs, balancing long-term platform health with product delivery. Drive Developer Experience strategy to accelerate build and test cycles and improve release safety across teams. Architect Android Client Health and Observability foundations (events, traces, dashboards) to empower engineering teams to safeguard performance and reliability. Champion AI supercharged developer and agent workflows. Provide technical leadership and mentorship to senior engineers, elevating engineering standards across teams through architectural reviews, documentation, and technical guidance. What we expect from you 5+ years software development experience with 3+ years buildin

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary · Designs, develops, and implements digital solutions and systems by applying advanced technical expertise to architect and code software applications, conduct system testing and debugging, collaborate with cross-functional teams, and contribute to the overall technical direction and innovation of digital engineering projects. · Leverages expertise to design and implement efficient and scalable solutions that meet business requirements and quality standards. · Contributes to solution design and architecture discussions, collaborating with architects and senior engineers. · Provides input on technical feasibility, performance optimization, and scalability considerations to ensure that the overall solution meets the desired objectives. · Participates in code reviews a

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Complete ownership of verification and end to end analysis of complex block level custom designs with advanced low power and power management technologies spread across multiple categories such as DDR5, LPDDR5, DDR6 and LPDDR6 that are capable of operating at high speeds of up to 11,4000MT/s. Staff-Level Expectations: At the Staff level, engineers are expected to: Lead verification efforts for strategic IPs and complex subsystems. Influence verification methodology across projects. Mentor junior engineers and drive verification quality, productivity, and innovation. Provide technical leadership across geographically distributed teams. Ability to lead team, guide and set the direction for the verification effort for any project that the team undertakes. Define roadmap and future scope of verification methodologies. Roles and Responsibilities: Understand design specifications and define verification scope, strategy, and plans for block/chip RTL verification Develop, execute, and maintain verification testbenches and test vectors using digital simulation tools and methodologies (SV-UVM) Run directed and constrained-random tests and regressions; analyze results and triage failures. Close verification metrics (functional coverage / code coverage as applicable) and identify verification holes to demonstrate readiness toward tapeout

About the Job Lead performance work that turns large-scale AI workloads into faster, more efficient systems. As a Staff AI Performance Engineer, you will analyze and optimize AI training and inference workloads across distributed systems. Your work will connect compute, memory, networking and software behavior. You will lead complex performance workstreams across hardware and software. You will find bottlenecks, validate improvements and turn performance evidence into practical engineering decisions. You will build benchmarks, profile demanding workloads and develop C++ and Python tools for analysis and optimization. Your recommendations will help teams improve efficiency, scalability and reliability. This role gives you broad technical scope across AI infrastructure at data center scale. It is based in Milpitas, California. The team and culture The System Engineering Performance team architects, evaluates and optimizes high-performance infrastructure for large-scale data center deployments. The team works across the computing stack to understand real system behavior. Work moves through evidence, ownership and clear technical judgment. You will lead investigations, coordinate across teams and validate impact with reliable performance data. Decisions are shaped through benchmarks, models, simulations and practical engineering tradeoffs. The team values engineers who think big, act fast, take responsibility, speak up and lead beyond their own area. What we’re looking for · Strong experience profiling and optimizing AI, machine learning or high-performance computing workloads. · Experience with distributed systems and communication libraries such as MPI, NCCL, UCX or libfabric. · Strong C++ and Python skills, including reliable tools or performance-sensitive software. · Deep understanding of compute, memory and communication behavior in large-scale systems. · Ability to lead technically complex work and coordinate improvements across teams. · Familiarity with MLPerf, a

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Department overview: The Senior Solutions Architect shapes the technical approach for moving employee technology support from reactive response toward predictive detection, safe self-healing, and higher value enablement. The role turns service needs into cross-platform architecture, reusable patterns, and clear implementation guidance. Working with engineering, operations, platform, security, and architecture partners, this individual makes technical tradeoffs visible and helps teams deliver solutions that can be operated and improved over time. What you’ll be doing: Architecture and technical direction Lead technical discovery for complex, cross-platform employee technology opportunities and define target architectures, integration patterns, and implementation options. Design the flow from service and endpoint signals through detection, diagnosis, approved remediation, escalation, and outcome recording. Set reusable standards for APIs, identity, data handling, observability, testing, rollback, and operational ownership in automation solutions. Assess build versus buy options and emerging AI capabilities against employee value, technical feasibility, security, and supportability. Platform architecture and integratio

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Staff Software Engineer - Full Stack Position Description: We are seeking an experienced Staff Engineer to provide technical leadership for the Advanced Integration Builder team within Okta. This team builds and maintains the backend services, provisioning frameworks, authentication connectors, and next-generation Entitlement Management engines that let Okta customers secure, integrate, and govern access to thousands of third-party enterprise applications — from modern cloud platforms (Microsoft Office 365, Workday, Salesforce, AWS, ServiceNow) and AI agentic systems to legacy on-prem systems . As a Staff Engineer, you will set technical direction across multiple integrations and the shared frameworks they depend on, resolve the hardest cross-app reliability and architecture problems — rate limiting at scale, backward compatibility — and raise the engineering bar for the team. This is a backend-intensive role centered on distributed systems, API client architecture, and operational excellence at scale. Day-to-day frontend involvement is still light relative to backend work, but you'll need decent React and JSP experience to guide and occasionally hand-build the new feature requests. Job Duties and Responsibilities: - Technical Leadership: Independently drive the design and execution of complex, ambiguous initiatives spanning multiple app integrations or shared frameworks used across dozens of connectors. - Architecture & Design: Lead technical design di

As a Staff Research Scientist within Datadog AI Research (DAIR), you will drive research in post-training and autonomous agents as a hands-on individual contributor. You will advance reinforcement learning, simulated environments, synthetic data generation, and evaluation methods for agents operating across complex real-world systems. You will set the technical direction for ambitious research programs, raise the technical bar for the researchers and research engineers around you, and collaborate with Datadog's product and engineering teams to translate research advances into products. What You'll Do: Drive research in agent post-training and reinforcement learning, shaping the technical direction of ambitious research programs grounded in observability and security Own research problems end to end, from framing the question through experimentation, model development, and evaluation Design and advance reinforcement learning approaches, post-training methods, and training loops for agents operating in complex environments Build simulated environments, synthetic data generation approaches, and evaluation frameworks that enable scalable agent training and rigorous measurement Raise the technical bar across the team by reviewing research directions, mentoring researchers and research engineers, and setting standards for experimental rigor Collaborate with cross-functional teams across Research, Product, and Engineering to translate advances in autonomous agents into scalable Datadog capabilities Contribute to research publications, present at top-tier conferences such as NeurIPS, ICLR, and ICML, and help open-source key model artifacts and benchmarks Who You Are: You hold a PhD in Computer Science, Machine Learning, or a related field, or have equivalent experience, with deep expertise in areas such as reinforcement learning, AI agents, post-training, or generative modeling You have driven technically ambitious research at meaningful scale as

As a Staff Research Scientist within Datadog AI Research (DAIR), you will drive research in foundation models and world models as a hands-on individual contributor. You will advance large-scale pre-training and multimodal learning across the diverse signals generated by distributed systems, including metrics, traces, logs, topology, and events. You will set the technical direction for ambitious research programs, raise the technical bar for the researchers and research engineers around you, and collaborate with Datadog's product and engineering teams to translate research advances into products. What You'll Do: Drive research in foundation models, world models, and multimodal learning, shaping the technical direction of ambitious research programs grounded in observability Own research problems end to end, from framing the question through experimentation, model development, and evaluation Train large-scale multimodal models on diverse telemetry data, including metrics, logs, traces, topology, events, and other non-text modalities Advance approaches to pre-training, representation learning, world modeling, scaling, and evaluation for models that learn the dynamics of complex distributed systems Raise the technical bar across the team by reviewing research directions, mentoring researchers and research engineers, and setting standards for experimental rigor Collaborate with cross-functional teams across Research, Product, and Engineering to translate research advances into scalable Datadog capabilities Contribute to research publications, present at top-tier conferences such as NeurIPS, ICLR, and ICML, and help open-source key model artifacts and benchmarks Who You Are: You hold a PhD in Computer Science, Machine Learning, or a related field, or have equivalent experience, with deep expertise in areas such as foundation models, world models, multimodal learning, or generative modeling You have driven technically ambitious research at meanin